308 Data Architecture jobs in Singapore

We are seeking a talented individual to join our team in Singapore. As a full-time Database Developer, you will play a crucial role in developing and maintaining robust database systems, ensuring seamless operation of business-critical applications.

• Design, implement, and optimise database solutions to support diverse range of software applications.
• Collaborate with cross-functional teams to understand and address complex business requirements.
• Develop and maintain efficient SQL queries, stored procedures, and other database objects.
• Perform database performance tuning, troubleshooting, and issue resolution.
• Participate in the planning and implementation of database migrations, upgrades, and backups.
• Contribute to the continuous improvement of database architecture and development processes.

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum 3 years of experience as a Software Engineer or Database Developer.
• Proficiency in SQL, database design, and optimisation techniques.
• Familiarity with database management systems such as MySQL, PostgreSQL, or Microsoft SQL Server.
• Experience with agile software development methodologies.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

About us:

A leading provider of information and communication technology solutions in the region. With a strong focus on innovation and customer success, we have established a reputation for delivering cutting-edge technologies and exceptional service.

Overview: We are seeking an experienced Data Architect Director to join our organization. As a key member of our team, you will be responsible for designing and implementing data strategies that align with our global data governance frameworks and business objectives.

Responsibilities:

• Create and implement data architectures that enable efficient data integration from multiple sources into a unified enterprise data lake.
• Partner with business stakeholders and technology teams to gather data requirements specific to banking products, transactions, customers, reporting, and analytics.
• Design scalable data models that reflect core banking operations, risk management, compliance, financial reporting, and analytics needs.
• Collaborate with development teams on physical data model deployment and performance optimization for large financial datasets.
• Ensure data models adhere to data governance, data quality, and metadata management standards across banking domains.
• Contribute to data integration strategies to enable seamless access to core banking systems, regulatory systems, and analytical platforms.

Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. Master's degree preferred.
• Over 15 years of experience in data architecture, data modeling, or data management, preferably in the banking or financial services industry.
• Deep knowledge of data governance (DAMA-DMBOK), data modeling, and metadata management.
• Deep expertise in logical and physical data modeling for core banking, risk, compliance, and financial reporting domains and various analytics use cases.
• Proficient in data modeling tools (e.g., Erwin, PowerDesigner, or similar).
• Solid understanding of relational and dimensional modeling, data warehousing, and data integration techniques.

We offer a competitive compensation package and opportunities for professional growth and development.

We are committed to delivering innovative solutions that meet the evolving needs of our clients. If you are passionate about data-driven decision-making and have a strong track record of success in data architecture, we encourage you to apply for this exciting opportunity.

Join to apply for the Project Manager, Data Architecture role at Hyundai Motor Group Innovation Center Singapore (HMGICS)

2 days ago Be among the first 25 applicants

Join to apply for the Project Manager, Data Architecture role at Hyundai Motor Group Innovation Center Singapore (HMGICS)

This position bridge between business operations and IT, playing a crucial role in enabling data-driven decision-making and supporting the organization's overall data strategy.

What To Expect

• Connect and collaborate with teams from other regions of the world to share best practices and global standards definitions.
• Interface with several corporate areas and preparation of technical documents, presentations, and reports.
• Providing a high-level, abstract representation of an organization's data requirements
• Design and implement comprehensive data management strategies aligned with business goals
• Domain-oriented data architecture (DODA) structures data around business domains, enabling
• Implement data governance policies and data quality control measures
• Develop and maintain enterprise data architecture solutions, including data warehouses and data lakes
• Ensure data security and compliance with relevant regulations
• Create data models and strategies to organize and store data entities efficiently
• Assess existing databases and data architectures for weaknesses

What You'll Bring

• Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
• At least 13 years of experience in data architect and technologies
• Proficiency in programming languages such as Python, SQL, Java, and C++
• Deep understanding of database management systems and data modeling techniques
• Experience with Big Data technologies, cloud computing platforms, and data analytics tools
• Strong project management and time management abilities
• Excellent communication skills to collaborate with various stakeholders
• Develop data pipeline processes to move data from OLTP to OLAP systems

• Seniority level Entry level

• Employment type Full-time

• Job function Project Management and Information Technology
• Industries Motor Vehicle Manufacturing

Referrals increase your chances of interviewing at Hyundai Motor Group Innovation Center Singapore (HMGICS) by 2x

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

We are seeking a skilled Data Solutions Architect to design, build, and maintain scalable data pipelines and infrastructure.

• Create robust data platforms using AWS services such as S3, Glue, Redshift, Lambda, IAM, CloudFormation/Terraform.
• Implement data ingestion from multiple sources.
• Develop and deploy efficient data processing solutions using AWS Lambda, EMR, Kinesis, Step Functions.

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• 2 to 4 years of experience in Data Engineering with strong exposure to AWS Cloud.
• Strong hands-on expertise with AWS services such as S3, Glue, Redshift, Lambda, IAM, CloudFormation/Terraform.
• Experience with data pipeline orchestration (Airflow, Step Functions).
• Proficiency in Python, SQL, PySpark.
• Strong knowledge of data warehousing, data lakes, and data management practices.
• Familiarity with Snowflake, Databricks (desired).
• Strong understanding of DevOps practices, CI/CD pipelines.
• Excellent problem-solving skills.

This role involves collaboration with cross-functional teams to enable analytics initiatives and ensure data quality, governance, and security.

We are seeking a highly skilled Big Data Engineer to join our team.

This is a critical position that will play a key role in shaping the architecture of our recommendation system.

The successful candidate will be responsible for designing and implementing a scalable, stable, and high-performance storage and computing systems.

They will also be required to troubleshoot production issues and develop tools to ensure the overall stability of the system.

• Main Responsibilities:
• Design and implement offline data architecture for large-scale recommendation systems
• Design and implement flexible, scalable, stable, and high-performance storage and computing systems
• Troubleshoot production system issues and design necessary mechanisms to ensure system stability
• Builddistributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
• Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets
• Visualize, interpret, and report data findings and create dynamic data reports

To be successful in this role, you will need to have the following qualifications:

• Bachelor's degree or above in Computer Science or related field with at least 3 years of experience
• Familiarity with open-source frameworks such as Hadoop, Hive, Flink, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch
• Experience in programming languages such as C, C++, Java, or Golang
• Effective communication skills and a sense of ownership and drive
• Peta Byte level data processing experience is a plus

We are committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

We believe in celebrating diversity and creating an environment that reflects the many communities we reach.

Our platform connects people from across the globe, and so does our workplace.

We are passionate about inspiring creativity and bringing joy to our users.

• Connect and collaborate with teams from other regions of the world to share best practices and global standards definitions.
• Interface with several corporate areas and preparation of technical documents, presentations, and reports.

• Providing a high-level, abstract representation of an organization's data requirements
• Design and implement comprehensive data management strategies aligned with business goals
• Domain-oriented data architecture (DODA) structures data around business domains, enabling
• Implement data governance policies and data quality control measures
• Develop and maintain enterprise data architecture solutions, including data warehouses and data lakes
• Ensure data security and compliance with relevant regulations
• Create data models and strategies to organize and store data entities efficiently
• Assess existing databases and data architectures for weaknesses

• Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
• At least 10 years of experience in data architect and technologies
• Proficiency in programming languages such as Python, SQL, Java, and C++
• Deep understanding of database management systems and data modeling techniques
• Experience with Big Data technologies, cloud computing platforms, and data analytics tools
• Strong project management and time management abilities
• Excellent communication skills to collaborate with various stakeholders
• Develop data pipeline processes to move data from OLTP to OLAP systems

Join to apply for the Project Manager, Data Architecture role at Hyundai Motor Group Innovation Center Singapore (HMGICS)

2 days ago Be among the first 25 applicants

Join to apply for the Project Manager, Data Architecture role at Hyundai Motor Group Innovation Center Singapore (HMGICS)

This position bridge between business operations and IT, playing a crucial role in enabling data-driven decision-making and supporting the organization's overall data strategy.

What To Expect

• Connect and collaborate with teams from other regions of the world to share best practices and global standards definitions.
• Interface with several corporate areas and preparation of technical documents, presentations, and reports.
• Providing a high-level, abstract representation of an organization's data requirements
• Design and implement comprehensive data management strategies aligned with business goals
• Domain-oriented data architecture (DODA) structures data around business domains, enabling
• Implement data governance policies and data quality control measures
• Develop and maintain enterprise data architecture solutions, including data warehouses and data lakes
• Ensure data security and compliance with relevant regulations
• Create data models and strategies to organize and store data entities efficiently
• Assess existing databases and data architectures for weaknesses

What You'll Bring

• Bachelor's Degree in Computer Science, Information Technology or relevant disciplines
• At least 13 years of experience in data architect and technologies
• Proficiency in programming languages such as Python, SQL, Java, and C++
• Deep understanding of database management systems and data modeling techniques
• Experience with Big Data technologies, cloud computing platforms, and data analytics tools
• Strong project management and time management abilities
• Excellent communication skills to collaborate with various stakeholders
• Develop data pipeline processes to move data from OLTP to OLAP systems

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Project Management and Information Technology

• Industries

  Motor Vehicle Manufacturing

Referrals increase your chances of interviewing at Hyundai Motor Group Innovation Center Singapore (HMGICS) by 2x

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Job Opportunity:

We are seeking a skilled Data Solutions Architect to design, build, and maintain scalable data pipelines and infrastructure.

• Create robust data platforms using AWS services such as S3, Glue, Redshift, Lambda, IAM, CloudFormation/Terraform.
• Implement data ingestion from multiple sources.
• Develop and deploy efficient data processing solutions using AWS Lambda, EMR, Kinesis, Step Functions.

Required Expertise:

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• 2 to 4 years of experience in Data Engineering with strong exposure to AWS Cloud.
• Strong hands-on expertise with AWS services such as S3, Glue, Redshift, Lambda, IAM, CloudFormation/Terraform.
• Experience with data pipeline orchestration (Airflow, Step Functions).
• Proficiency in Python, SQL, PySpark.
• Strong knowledge of data warehousing, data lakes, and data management practices.
• Familiarity with Snowflake, Databricks (desired).
• Strong understanding of DevOps practices, CI/CD pipelines.
• Excellent problem-solving skills.

This role involves collaboration with cross-functional teams to enable analytics initiatives and ensure data quality, governance, and security.

Responsibilities

• Assist in the updating, extracting and uploading of database for marketing purposes;
• Perform data de-duplication, manipulation, cleansing, extraction, mapping/matching;
• Perform queries and list pulls for marketing campaigns;
• Monitor and perform updating, deduping, clean-up, extracting and uploading of database;
• Report on campaigns performance, effectiveness, and growth;
• Produce quantitative reports/presentations and communicate on findings, highlight any inconsistencies / issues;
• Work with business and IT resources regarding database issues and technical questions;
• The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities and qualifications may be required and/or assigned as necessary.

Requirements:

• Minimum 1-2 years of relevant database / reporting experience;
• Minimum Diploma in a relevant field;
• Highly proficient with Microsoft Excel (E.g.: Pivot Tables, Macros, etc);
• Understanding of database structure;
• Basic programming skills will be an advantage;
• Able to work in a deadline driven environment with the ability to meet aggressive deadlines;
• Able to handle multiple campaigns assigned;
• Observes attention-to-detail, meticulous and organized; and
• Fluent in both spoken and written English.

We regret that only shortlisted candidates will be notified.